TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources.

Researchers at the University of Osaka have developed a deep learning model for rapid building damage assessment after floods ...

The existing anomaly detection methods for IoT devices suffer from several limitations, including inadequate and untimely implementation of security control measures, as well as an inability to ...

Conversely, Intrusion Detection Systems (IDSs) have been proposed by both industry and academia to identify attacks and anomalous behaviours. In this article, we propose CANnolo, an IDS based on Long ...